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Timely, accurate demand forecasts help you have the right products for your customers in the right places at the right time, and find ways to lessen the impact when you can’t. With machine learning, social, mobile, and big data, you can get a clear picture of customer demand early and respond to changes quickly.
Take advantage of the cloud to combine internal data and external signals to detect demand shift early. Model complex scenarios and first-time events with AI and machine learning. Collaborate with sales, marketing, and supply planning on secure social to influence demand and improve product availability.
Compile demand data such as order and shipment history, seasonal patterns, and reginal variation. Include external signals such as syndicated data and social postings. Get qualitative inputs, including market insights and competitive landscape changes from stakeholders over secure social conversation.
Automatically detect outliers, fill data gaps, and select the right level of detail and combination of statistical methods to minimize forecast error. Uncover invisible patterns with machine learning. Visually analyze the impact of baseline and causal factors.
Use what-if modeling to simulate the impact of decisions such as new product introduction, pricing change, end-of-life, and marketing campaign. Easily compare forecast scenarios via dashboard.
Generate forecasts by product category, market segment, etc. Get customer or channel input via a secure portal. Achieve consensus forecasts with internal stakeholders over secure social collaboration.
Automatically adjust required inventory, capacity and material supply based on demand plans. Collaborate with stakeholders to address supply issues.
Uncover insights and improve planning accuracy with machine learning. Resolve chronic issues via error and variability analysis.